Markus Holzer
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Computational Theory and Mathematics top 0.2%
- semigroups and automata theory
- Formal Methods in Verification
Papers in
-
- semigroups and automata theory 156
- Formal Methods in Verification 29
- Advanced Algebra and Logic 24
-
- Machine Learning and Algorithms 61
- Algorithms and Data Compression 34
- Logic, programming, and type systems 34
- Natural Language Processing Techniques 25
- Co-authors
- Martin Kutrib (62 shared papers)Hermann Gruber (29 shared papers)Henning Bordihn (26 shared papers)Henning Fernau (16 shared papers)Barbara König (5 shared papers)Georg Langs (8 shared papers)Andreas Malcher (5 shared papers)Carsten Damm (6 shared papers)
In The Last Decade
Markus Holzer
208 papers receiving 2.5k citations
Markus Holzer's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 206
- Computational Theory and Mathematics 1.5k
- Artificial Intelligence 1.6k
- Radiology, Nuclear Medicine and Imaging 405
- Molecular Biology 954
Countries citing papers authored by Markus Holzer
This map shows the geographic impact of Markus Holzer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Holzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Holzer more than expected).
Fields of papers citing papers by Markus Holzer
This network shows the impact of papers produced by Markus Holzer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Holzer. The network helps show where Markus Holzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Holzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Hit paper breakdown → | 2020 | 671 |
| 2 | 2003 | 123 | |
| 3 | 2010 | 110 | |
| 4 | 2004 | 55 | |
| 5 | 2008 | 51 | |
| 6 | 2010 | 48 | |
| 7 | State Complexity of Basic Operations on Nondeterministic Finite Automata | 2001 | 41 |
| 8 | 2009 | 40 | |
| 9 | 2001 | 37 | |
| 10 | 2007 | 37 | |
| 11 | 2009 | 37 | |
| 12 | 2012 | 37 | |
| 13 | 2010 | 35 | |
| 14 | 2012 | 35 | |
| 15 | 2003 | 34 | |
| 16 | 2004 | 33 | |
| 17 | 2007 | 28 | |
| 18 | 2003 | 26 | |
| 19 | 1993 | 24 | |
| 20 | 2003 | 23 |
About Markus Holzer
Markus Holzer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 230 papers that have together received 2.6k indexed citations. Recurring topics across this work include semigroups and automata theory (156 papers), DNA and Biological Computing (99 papers), Machine Learning and Algorithms (61 papers), Algorithms and Data Compression (34 papers), Logic, programming, and type systems (34 papers), Formal Methods in Verification (29 papers), Natural Language Processing Techniques (25 papers) and Advanced Algebra and Logic (24 papers). The work is most often cited by research in Health Informatics (206 citations), Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.6k citations), Radiology, Nuclear Medicine and Imaging (405 citations) and Molecular Biology (954 citations). Markus Holzer has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Martin Kutrib, Hermann Gruber, Henning Bordihn, Henning Fernau, Barbara König, Georg Langs, Andreas Malcher, Carsten Damm, Klaus-Jörn Lange and Kai Salomaa. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Lecture notes in computer science, Information and Computation and Fundamenta Informaticae.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.